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Shinichi Nakagawa
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A general and simple method for obtaining R2 from generalized linear mixed‐effects models
S Nakagawa, H Schielzeth
Methods in ecology and evolution 4 (2), 133-142, 2013
78922013
Effect size, confidence interval and statistical significance: a practical guide for biologists
S Nakagawa, IC Cuthill
Biological reviews 82 (4), 591-605, 2007
31572007
A farewell to Bonferroni: the problems of low statistical power and publication bias
S Nakagawa
Behavioral ecology 15 (6), 1044-1045, 2004
22932004
Repeatability for Gaussian and non‐Gaussian data: a practical guide for biologists
S Nakagawa, H Schielzeth
Biological Reviews 85 (4), 935-956, 2010
20612010
Redefine statistical significance
DJ Benjamin, JO Berger, M Johannesson, BA Nosek, EJ Wagenmakers, ...
Nature human behaviour 2 (1), 6-10, 2018
19952018
Multimodel inference in ecology and evolution: challenges and solutions
CE Grueber, S Nakagawa, RJ Laws, IG Jamieson
Journal of evolutionary biology 24 (4), 699-711, 2011
19292011
The coefficient of determination R2 and intra-class correlation coefficient from generalized linear mixed-effects models revisited and expanded
S Nakagawa, PCD Johnson, H Schielzeth
Journal of The Royal Society Interface 14 (134), 20170213, 2017
12892017
rptR: Repeatability estimation and variance decomposition by generalized linear mixed‐effects models
MA Stoffel, S Nakagawa, H Schielzeth
Methods in Ecology and Evolution 8 (11), 1639-1644, 2017
9332017
Meta-analysis and the science of research synthesis
J Gurevitch, J Koricheva, S Nakagawa, G Stewart
Nature 555 (7695), 175-182, 2018
7852018
General quantitative genetic methods for comparative biology: phylogenies, taxonomies and multi‐trait models for continuous and categorical characters
JD Hadfield, S Nakagawa
Journal of evolutionary biology 23 (3), 494-508, 2010
6842010
Methodological issues and advances in biological meta-analysis
S Nakagawa, ESA Santos
Evolutionary Ecology 26 (5), 1253-1274, 2012
5912012
A quantitative review of heterozygosity–fitness correlations in animal populations
JR Chapman, S Nakagawa, DW Coltman, J Slate, BC Sheldon
Molecular ecology 18 (13), 2746-2765, 2009
4732009
Missing inaction: the dangers of ignoring missing data
S Nakagawa, RP Freckleton
Trends in ecology & evolution 23 (11), 592-596, 2008
3252008
Weak evidence for anticipatory parental effects in plants and animals
T Uller, S Nakagawa, S English
Journal of evolutionary biology 26 (10), 2161-2170, 2013
2932013
Consistent age-dependent declines in human semen quality: a systematic review and meta-analysis
SL Johnson, J Dunleavy, NJ Gemmell, S Nakagawa
Ageing research reviews 19, 22-33, 2015
2772015
The effects of sex hormones on immune function: a meta‐analysis
YZ Foo, S Nakagawa, G Rhodes, LW Simmons
Biological Reviews 92 (1), 551-571, 2017
2742017
Meta-evaluation of meta-analysis: ten appraisal questions for biologists
S Nakagawa, DWA Noble, AM Senior, M Lagisz
BMC biology 15 (1), 1-14, 2017
2682017
Nested by design: model fitting and interpretation in a mixed model era
H Schielzeth, S Nakagawa
Methods in Ecology and Evolution 4 (1), 14-24, 2013
2512013
Robustness of linear mixed‐effects models to violations of distributional assumptions
H Schielzeth, NJ Dingemanse, S Nakagawa, DF Westneat, H Allegue, ...
Methods in ecology and evolution 11 (9), 1141-1152, 2020
2472020
Model averaging, missing data and multiple imputation: a case study for behavioural ecology
S Nakagawa, RP Freckleton
Behavioral Ecology and Sociobiology 65 (1), 103-116, 2011
2472011
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